Tracking Control of Wave-Adaptive Modular Unmanned Surface Vehicle Using Time-Delay Zeroing Neural Network by Pengfei Guo, Wenyue Zhang, Zheng Li, Zheng Zheng

“…Building on these innovative BFDFs, we introduce a second-order tracking controller utilizing a multiple zeroing neural network (ZNN) model with time delay to address the tracking control of the wave-adaptive modular vessel’s vertical motion dynamics (WAMV-VMD) system. …”
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Design of drain tube with cone to prevent frost accumulation of drainage hole in household refrigerators using artificial neural network by Suhwan Lee, Dongkuk Kang, Jinxing Fan, Sunghee Kang, Dong Kim, Eunseop Yeom

“…Experiments and computational fluid dynamics (CFD) simulations were conducted to investigate frost formation patterns and the effects of absolute humidity. …”
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Short-term plasticity influences episodic memory recall: an interplay of synaptic traces in a spiking neural network model by N. Chrysanthidis, F. Fiebig, A. Lansner, P. Herman

“…Abstract We investigated the interaction of episodic memory processes with the short-term dynamics of recency effects. This work takes inspiration from a seminal experimental work involving an odor-in-context association task conducted on rats. …”
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Analysis of a mathematical model for malaria using data-driven approach by Adithya Rajnarayanan, Manoj Kumar, Abdessamad Tridane

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Harnessing miRNA dynamics in HIV-1-infected macrophages: Unveiling new targeted therapeutics using systems biology by R. Harshithkumar, Mollina Kaul, Madhuri Chandane-Tak, Nikhat J. Siddiqi, Abdul Malik, Abdul Arif Khan, Anupam Mukherjee

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Decentralized Data-Driven Voltage Control for Clustered PV Inverters With Local Deviation Priority by David S. Pacheco-Cherrez, Jonathan C. Mayo-Maldonado, Gerardo Escobar, Daniel Guillen, Jesus Daniel Davalos Soto

“…The approach exhibits robust adaptability to system variations, addressing challenges posed by high PV penetration and dynamic network changes. Numerical simulations conducted in MATLAB/Simulink highlight the method’s potential to enhance grid stability and support the integration of renewable energy into modern distribution networks.…”
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Prediction of crystalline structure evolution during solidification of aluminum at different cooling rates using a hybrid neural network model by Rafi B. Dastagir, Shorup Chanda, Farsia K. Chowdhury, Shahereen Chowdhury, K. Arafat Rahman

“…The model was trained using a dataset generated from 240 molecular dynamics (MD) simulations conducted at 48 different cooling rates, with cooling rates, timesteps, and temperature as inputs. …”
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Molecular investigation on active compounds in papaya leaves (Carica papaya Linn) as anti-malaria using network pharmacology, molecular docking, clustering-based analysis and molec... by Arwansyah Arwansyah, Sitti Rahmawati, Siti Nuryanti, Yenni Yusuf, Hartono, Abdur Rahman Arif

“…A total of 23 proteins linked to the active compounds and malaria-related targets in human proteins were identified using network analysis. STAT3 protein is the first-degree rank based on network topological analysis, indicating it has a strong correlation with malaria infection. …”
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Influence of Geometric Effects on Dynamic Stall in Darrieus-Type Vertical-Axis Wind Turbines for Offshore Renewable Applications by Qiang Zhang, Weipao Miao, Kaicheng Zhao, Chun Li, Linsen Chang, Minnan Yue, Zifei Xu

“…To address these unresolved issues, this study conducts a comprehensive investigation into the dynamic stall behavior and wake vortex evolution induced by Darrieus-type pitching motion (DPM). …”
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Investigation of the Anti-Lung Cancer Mechanisms of <i>Taraxacum officinale</i> Based on Network Pharmacology and Multidimensional Experimental Validation by Jianing Liu, Hailing Yang, Ran Liu, Dongjin Sun, Yongbao Liu, Jing Lu, Jinbiao Liu, Junrui Lu

“…Additionally, molecular docking and molecular dynamics (MD) simulations were conducted to evaluate binding interactions between critical active constituents and core targets. …”
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A trade-off between line hardening and dynamic line rating by a new convex optimization model for resilient micro-grid-oriented expansion planning of reconfigurable smart distribut... by Saeed Behzadi, Amir Bagheri

“…Because of budget and right-of-way limitations, smart-grid technologies (SGTs) are widely incorporated in today’s distribution systems in order to satisfy the load demand growth and meet the network’s operational and reinforcement planning requirements. …”
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Enhancing 1D ionic conductivity in lithium manganese iron phosphate with low-energy optical phonons by Hyungju Oh, Chanwoo Noh, A Young Cho, Jong Chan Kim, Noma Kim, Kyoung Hoon Kim

“…In this study, we investigate the influence of Mn/Fe atomic configurations on LMFP’s ionic conductivity by integrating ab initio density-functional theory (DFT) calculations with molecular dynamics (MD) simulations using graph neural network-based interatomic potentials. …”
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AEM-D3QN: A Graph-Based Deep Reinforcement Learning Framework for Dynamic Earth Observation Satellite Mission Planning by Shuo Li, Gang Wang, Jinyong Chen

“…Traditional heuristic and metaheuristic approaches often struggle with scalability and adaptability in dynamic environments. To overcome these limitations, we introduce AEM-D3QN, a novel intelligent task scheduling framework that integrates Graph Neural Networks (GNNs) with an Adaptive Exploration Mechanism-enabled Double Dueling Deep Q-Network (D3QN). …”
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LO-MLPRNN: A Classification Algorithm for Multispectral Remote Sensing Images by Fusing Selective Convolution by Xiangsuo Fan, Yan Zhang, Yong Peng, Qi Li, Xianqiang Wei, Jiabin Wang, Fadong Zou

“…To address the limitation of traditional deep learning algorithms in fully utilizing contextual information in multispectral remote sensing (RS) images, this paper proposes an improved vegetation cover classification algorithm called LO-MLPRNN, which integrates Large Selective Kernel Network (LSK) and Omni-Dimensional Dynamic Convolution (ODC) with a Multi-Layer Perceptron Recurrent Neural Network (MLPRNN). …”
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Exploration of Bioactive Umami Peptides from Wheat Gluten: Umami Mechanism, Antioxidant Activity, and Potential Disease Target Sites by Haowen Chen, Huiyan Zhao, Cuiling Li, Chunxia Zhou, Jianxu Chen, Wenjie Xu, Guili Jiang, Jingjing Guan, Zhuorong Du, Donghui Luo

“…The objective of this study was to conduct a comprehensive investigation into the umami intensity, taste mechanism, and antioxidant activity of six umami peptides derived from wheat gluten hydrolysates (WGHs) and fermented WGHs. …”
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Comprehensive genome-wide characterization of NAC transcription factors in Barley influence insights into stress tolerance and evolutionary dynamics by Muhammad Arif, Noman Mahmood, Ayesha Fazal Nawaz, Mohamed A. El-Sheikh, Saleh Alansi, Parvaiz Ahmad

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Shape, membrane morphology, and morphodynamic response of metabolically active human mitochondria revealed by scanning ion conductance microscopy by Eric Lieberwirth, Anja Schaeper, Regina Lange, Ingo Barke, Simone Baltrusch, Sylvia Speller

“…Mitochondrial network dynamics play a key role in enabling cells to adapt to environmental changes. …”
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Opportunities for and Challenges of Conducting Indirect Treatment Comparisons and Meta-Analyses for Vaccines in Post-EU HTA Regulation Era by Charlotte Graham, Erin Barker, Joe Moss, Emily Gregg, Rachael McCool, Nathalie Largeron, Mélanie Trichard, José Bartelt-Hofer, Maribel Tribaldos

“…Opportunities to tackle these challenges include introducing a stepwise approach to vaccine assessment in JCA, best-practice recommendations for conducting/interpreting vaccine MAs and ITCs, and condensing the number of PICOs to create larger ‘catch-all’ ITC networks. …”
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Method of Credit Fraud Detection by Combining Sub-graph Selection and Neighborhood Filtering by TANG Xiaoyong, WANG Haodong

“…Therefore, researchers propose a graph neural network model that integrates reconstruction subgraph selection and reinforced neighborhood filtering (RSRF-GNN) for large-scale Internet financial credit dynamic graphs. …”
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APGCN-CF: A Spatio-Temporal-Aware Graph Convolutional Network Framework for Minor Agricultural Product Recommendation in Rural E-Commerce by Wenjin Hou, Ke Zhu, Pingzeng Liu, Honghua Jiang, Yan Zhang, Xinran Yu

“…This study introduces APGCN-CF, an innovative graph convolutional network-based framework designed to address the distinctive challenges of minor agricultural product recommendation in rural e-commerce environments. …”
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